Urwah Admin

Elsevier

<div></div><div><div>Senior Data Scientist I</div><div>
Are you interested in working with data and analytics to solve problems?</div><div>
Are you interested in bringing your Gen AI, Machine Learning and NLP expertise to projects?</div><div></div><div><br>
About our Team:</div><div>
Data Science Health team works with a focus on Generative AI, Agentic AI, Machine Learning, Natural Language Processing, and Statistical techniques to build state of the art applications for the health sciences domain.</div><div></div><div><br>
About the Role:</div><div>
As a Senior Data Scientist, you will play a pivotal role in the development and deployment of cutting-edge Generative AI models and solutions. You will be responsible for building, testing, and maintaining our Generative AI, Retrieval Augmented Generation (RAG), Agentic AI and Natural Language Processing (NLP) solutions. This includes evaluating their performance and implementing guardrails to ensure ethical and responsible use of AI technologies.</div><div></div><div>
You will engage in the entire life cycle of data science projects, including design, implementation, evaluation, productionisation and ongoing enhancement. A key focus of your work will be on the customization and optimization of existing RAG pipelines to support applications that involve content ingestion, machine translation, and contextualized information retrieval. Experience with end-to-end model deployment, including leveraging AI agents, Model Context Protocol (MCP) for effective context management, and cloud platforms such as AWS (including AWS Bedrock), Azure, or similar services, is a strong plus. Your deliverables will include efficient, production-ready Python code, with experience in Java considered an asset. You will collaborate closely with Subject Matter Experts (SMEs) and the technology team to deploy and operationalize our data science pipelines.This role requires a strong foundation in Natural Language Processing (NLP), Machine Learning, Transformer models and Generative AI, as well as proficiency in Python.</div><div></div><div><br>
Responsibilities:</div><ul><li>Collect data, perform data analysis, develop models, define quality metrics, and conduct quality assessments of models, along with regular presentations to stakeholders.</li><li>Create production-ready Python packages for each component of data science pipelines (e.g., pre-processing, model inference, evaluation) and coordinate their deployment with the technology team.</li><li>Design, develop, and deploy Generative AI models and solutions that meet specific business needs.</li><li>Expertise in Retrieval Augmented Generation (RAG) optimization and customization of existing RAG pipelines to meet specific project needs.</li><li>Proficiency in large-scale data ingestion, preprocessing, and transformation of multilingual content to ensure high-quality inputs for downstream models.</li><li>Experience building Agentic RAG systems is strong requirements.</li><li>Experience in LangChain, AutoGen, Haystack, MCP or similar AI agent management tools.</li><li>Fine-tune large language models (LLMs) and transformer models to enhance accuracy and relevance.</li><li>Implement guardrails and evaluation mechanisms to ensure responsible and ethical AI usage.</li><li>Conduct rigorous testing and evaluation of AI models to ensure high performance and reliability.</li><li>Integrate data science components and ensure end-to-end quality assessment.</li><li>Maintain the robustness of data science pipelines against model drift and ensure consistent output quality.</li><li>Establish a reporting process for pipeline performance and develop automatic re-training strategies for existing pipelines.</li><li>Work collaboratively with cross-functional teams to integrate AI solutions into existing products and services.</li><li>Mentor junior data scientists and contribute to the knowledge-sharing culture within the team.</li><li>Stay up-to-date with the latest advancements in AI, machine learning, and NLP technologies.</li></ul><div><br>
<br>
Requirements</div><ul><li>Master&rsquo;s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.</li><li>7+ years of relevant applied experience in data science, with a focus on Generative AI, NLP, and machine learning.</li><li>Proficiency in Python for data analysis, model development, and deployment.</li><li>Strong experience with transformer models and fine-tuning techniques for large language models (LLMs).</li><li>Proficiency in Generative AI technologies, including utilizing LLMs via API access, LLM evaluation tools, and prompt engineering.</li><li>Knowledge of various RAG pipelines and their practical implementation.</li><li>Experience with advanced algorithms in deep learning, neural networks, reinforcement learning, and transfer learning.</li><li>Familiarity with traditional machine learning algorithms such as random forests, SVM, logistic regression, and Bayesian modelling for model building, validation, and testing.</li><li>Understanding of AI ethics, guardrail implementation, and evaluation metrics.</li><li>Familiarity with cloud platforms (e.g., Bedrock, AWS, Azure) for model deployment and the creation of production-ready pipelines.</li><li>Proficiency in data visualization tools and techniques.</li><li>Experience with version control systems (e.g., GitLab or GitHub), Jira, and working in an Agile environment.</li><li>Proficient in using *nix systems, open-source software, Jupyter Notebook, libraries, and cloud computing.</li><li>Excellent problem-solving and analytical skills, with strong attention to detail.</li><li>Strong communication skills and the ability to work effectively in a team-oriented environment.</li></ul><div></div><div><br>
Work in a Way That Works for You:</div><div>
We promote a healthy work/life balance and provide various well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals.</div><div></div><div>
Working for You:</div><div>
We offer comprehensive benefits to support your health and well-being, including:</div><ul><li><div>
Health insurance for you and your family.</div></li><li><div>
Enhanced health insurance options at competitive rates.</div></li><li><div>
Group life insurance for financial security.</div></li><li><div>
Group accident insurance for protection against accidental death and permanent disability.</div></li><li><div>
Flexible working arrangements for work-life balance.</div></li><li><div>
Employee assistance programs for personal and work-related support.</div></li><li><div>
Medical screenings prioritize your well-being.</div></li><li><div>
Modern family benefits, including maternity, paternity, and adoption support.</div></li><li><div>
Long-service awards to recognize dedication.</div></li><li><div>
New baby gifts to celebrate parenthood.</div></li><li><div>
Subsidized meals at specific locations.</div></li><li><div>
Various paid time-off options, including casual leave, sick leave, privilege leave, compassionate leave, special sick leave, and public holidays.</div></li><li><div>
Free transportation for home-office-home travel in select locations.</div></li></ul><div></div><div>
About Business:</div><div>
We are a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science, research, health education, interactive learning, and exceptional healthcare and clinical practice. At Elsevier, your work contributes to addressing the world's grand challenges and creating a more sustainable future. We harness innovative technologies to support science and healthcare, partnering for a better world</div><div><br>
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our <div>Applicant Request Support Form</div> or please contact 1-855-833-5120.</div><div></div><div>
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams <div>here</div>.</div><div></div><div>
Please read our <div>Candidate Privacy Policy</div>.</div><div></div><div>
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.</div><div></div><div><i>
USA Job Seekers:</i></div><div><div>
EEO Know Your Rights</div>.</div></div><div></div>

Senior Data Scientist I

<div></div><div><div>Senior Data Scientist II</div><div>
Are you interested in working with data and analytics to solve problems?</div><div>
Are you interested in bringing your Gen AI, Machine Learning and NLP expertise to projects?</div><div></div><div>
About our Team:</div><div>
Data Science Health team works with a focus on Generative AI, Agentic AI, Machine Learning, Natural Language Processing, and Statistical techniques to build state of the art applications for the health sciences domain.</div><div></div><div>
About the Role:</div><div>
As a Senior Data Scientist, you will play a pivotal role in the development and deployment of cutting-edge Generative AI models and solutions. You will be responsible for building, testing, and maintaining our Generative AI, Retrieval Augmented Generation (RAG), Agentic AI and Natural Language Processing (NLP) solutions. This includes evaluating their performance and implementing guardrails to ensure ethical and responsible use of AI technologies.</div><div></div><div>
You will engage in the entire life cycle of data science projects, including design, implementation, evaluation, productionisation and ongoing enhancement. A key focus of your work will be on the customization and optimization of existing RAG pipelines to support applications that involve content ingestion, machine translation, and contextualized information retrieval. Experience with end-to-end model deployment, including leveraging AI agents, Model Context Protocol (MCP) for effective context management, and cloud platforms such as AWS (including AWS Bedrock), Azure, or similar services, is a strong plus. Your deliverables will include efficient, production-ready Python code, with experience in Java considered an asset. You will collaborate closely with Subject Matter Experts (SMEs) and the technology team to deploy and operationalize our data science pipelines.This role requires a strong foundation in Natural Language Processing (NLP), Machine Learning, Transformer models and Generative AI, as well as proficiency in Python.</div><div></div><div>
Responsibilities:</div><ul><li>Collect data, perform data analysis, develop models, define quality metrics, and conduct quality assessments of models, along with regular presentations to stakeholders.</li><li>Create production-ready Python packages for each component of data science pipelines (e.g., pre-processing, model inference, evaluation) and coordinate their deployment with the technology team.</li><li>Design, develop, and deploy Generative AI models and solutions that meet specific business needs.</li><li>Expertise in Retrieval Augmented Generation (RAG) optimization and customization of existing RAG pipelines to meet specific project needs.</li><li>Proficiency in large-scale data ingestion, preprocessing, and transformation of multilingual content to ensure high-quality inputs for downstream models.</li><li>Experience building Agentic RAG systems is strong requirements.</li><li>Experience in LangChain, AutoGen, Haystack, MCP or similar AI agent management tools.</li><li>Fine-tune large language models (LLMs) and transformer models to enhance accuracy and relevance.</li><li>Implement guardrails and evaluation mechanisms to ensure responsible and ethical AI usage.</li><li>Conduct rigorous testing and evaluation of AI models to ensure high performance and reliability.</li><li>Integrate data science components and ensure end-to-end quality assessment.</li><li>Maintain the robustness of data science pipelines against model drift and ensure consistent output quality.</li><li>Establish a reporting process for pipeline performance and develop automatic re-training strategies for existing pipelines.</li><li>Work collaboratively with cross-functional teams to integrate AI solutions into existing products and services.</li><li>Mentor junior data scientists and contribute to the knowledge-sharing culture within the team.</li><li>Stay up-to-date with the latest advancements in AI, machine learning, and NLP technologies.</li></ul><div><br>
<br>
Requirements</div><ul><li>Master&rsquo;s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.</li><li>7+ years of relevant applied experience in data science, with a focus on Generative AI, NLP, and machine learning.</li><li>Proficiency in Python for data analysis, model development, and deployment.</li><li>Strong experience with transformer models and fine-tuning techniques for large language models (LLMs).</li><li>Proficiency in Generative AI technologies, including utilizing LLMs via API access, LLM evaluation tools, and prompt engineering.</li><li>Knowledge of various RAG pipelines and their practical implementation.</li><li>Experience with advanced algorithms in deep learning, neural networks, reinforcement learning, and transfer learning.</li><li>Familiarity with traditional machine learning algorithms such as random forests, SVM, logistic regression, and Bayesian modelling for model building, validation, and testing.</li><li>Understanding of AI ethics, guardrail implementation, and evaluation metrics.</li><li>Familiarity with cloud platforms (e.g., Bedrock, AWS, Azure) for model deployment and the creation of production-ready pipelines.</li><li>Proficiency in data visualization tools and techniques.</li><li>Experience with version control systems (e.g., GitLab or GitHub), Jira, and working in an Agile environment.</li><li>Proficient in using *nix systems, open-source software, Jupyter Notebook, libraries, and cloud computing.</li><li>Excellent problem-solving and analytical skills, with strong attention to detail.</li><li>Strong communication skills and the ability to work effectively in a team-oriented environment.</li></ul><div></div><div><br>
Work in a Way That Works for You:</div><div>
We promote a healthy work/life balance and provide various well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals.</div><div></div><div>
Working for You:</div><div>
We offer comprehensive benefits to support your health and well-being, including:</div><ul><li><div>
Health insurance for you and your family.</div></li><li><div>
Enhanced health insurance options at competitive rates.</div></li><li><div>
Group life insurance for financial security.</div></li><li><div>
Group accident insurance for protection against accidental death and permanent disability.</div></li><li><div>
Flexible working arrangements for work-life balance.</div></li><li><div>
Employee assistance programs for personal and work-related support.</div></li><li><div>
Medical screenings prioritize your well-being.</div></li><li><div>
Modern family benefits, including maternity, paternity, and adoption support.</div></li><li><div>
Long-service awards to recognize dedication.</div></li><li><div>
New baby gifts to celebrate parenthood.</div></li><li><div>
Subsidized meals at specific locations.</div></li><li><div>
Various paid time-off options, including casual leave, sick leave, privilege leave, compassionate leave, special sick leave, and public holidays.</div></li><li><div>
Free transportation for home-office-home travel in select locations.</div></li></ul><div></div><div>
About Business:</div><div>
We are a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science, research, health education, interactive learning, and exceptional healthcare and clinical practice. At Elsevier, your work contributes to addressing the world's grand challenges and creating a more sustainable future. We harness innovative technologies to support science and healthcare, partnering for a better world</div><div></div><div>
Together, we create possibilities.</div><div><br>
Join us</div><div><br>
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our <div>Applicant Request Support Form</div> or please contact 1-855-833-5120.</div><div></div><div>
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams <div>here</div>.</div><div></div><div>
Please read our <div>Candidate Privacy Policy</div>.</div><div></div><div>
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.</div><div></div><div><i>
USA Job Seekers:</i></div><div><div>
EEO Know Your Rights</div>.</div></div><div></div>

Senior Data Scientist II

<div></div><div><div>EHR/EMR Principal Data Analyst</div><div><br>
Are you a collaborative Data Engineer with a EHR/EMR background looking to work for a mission driven global organization?</div><div></div><div>
Do you consider yourself a SME in the EHR/EMR Data Analytics space?</div><div></div><div>
About the role - We are seeking a Principal Data Analyst with an EHR/EMR expertise to provide the technical and operational expertise that supports ClinicalPath&rsquo;s sales, implementation, and product teams. This role combines a deep understanding of EHR integrations with hands-on technical skills in SQL, reporting, and automation. You will be a key partner in customer-facing technical discussions&mdash;helping clarify integration requirements, supporting security and compliance assessments, and ensuring a seamless handoff into implementation. This position is ideal for someone who thrives at the intersection of technology, healthcare workflows, and customer engagement.</div><div></div><div>
About the team - ClinicalPath is a clinical decision-support system used mainly in cancer care. It gives doctors evidence-based treatment pathways so they can choose the best possible care plan for each patient.</div><div></div><div>
Requirements</div><ul><li>
Possess extensive and current SQL skills for query writing, optimization, and troubleshooting.</li><li>
Have a deep familiarity with EHR/EMR systems and integration workflows, including HL7, FHIR, and ADT message formats.</li><li>
Experience supporting or executing technical assessments, security reviews, or RFPs.</li><li>
Possess the ability to easily communication with both technical and clinical stakeholders.</li><li>
Proven ability to manage and maintain technical documentation and customer-facing collateral.</li><li>
Experience in technical or customer-facing role (product operations, solutions engineering, or technical account management).</li><li>
Understanding of cloud infrastructure (AWS, Azure) and healthcare data security best practices.</li></ul><div></div><div>
Responsibilities</div><div></div><div>
Customer &amp; Sales Support</div><ul><li>
Participating in customer-facing technical and sales discussions to assess EHR integration needs, data exchange requirements, and clinical workflows.</li><li>
Providing expert guidance on interoperability standards (HL7, FHIR, ADT, API integrations) and their application within the ClinicalPath platform.</li><li>
Supporting the completion of technical documentation, risk/security questionnaires, and compliance assessments (HIPAA, ISO 27001).</li><li>
Maintaining and refresh demo environments (Figma-based and live) to ensure technical accuracy and consistency with current product capabilities.</li><li>
Serving as a technical liaison during the contracting and pre-implementation phase, ensuring accurate documentation and clear communication of requirements.</li></ul><div></div><div>
Technical Execution &amp; Operations</div><ul><li>
Writing, optimizing, and troubleshooting SQL queries to support reporting, analytics, and data-driven product operations.</li><li>
Developing and maintaining recurring reporting and extract processes, including payer, client, and internal data feeds.</li><li>
Maintaining up-to-date technical documentation, architecture diagrams, and internal FAQs to support consistency and knowledge sharing.</li></ul><div></div><div>
Cross-Functional Collaboration &amp; Improvement</div><ul><li>
Partnering closely with product, implementation, and customer success teams to translate customer requirements into clear, actionable specifications.</li><li>
Identifying opportunities to streamline demo, handoff, and documentation processes for greater operational efficiency.</li><li>
Contributing to product and process improvements based on recurring customer feedback or integration challenges.</li><li>
Supporting data analysis and technical insights for leadership teams across sales, product, and operations.</li></ul><div></div><div>
Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. For more than 140 years, we&rsquo;ve helped impact makers to advance science and healthcare to advance human progress, and that same mission drives us today.</div><br>
<div></div>
U.S. National Base Pay Range: $113,100 - $188,500. Geographic differentials may apply in some locations to better reflect local market rates.
 If performed in Maryland, the pay range is $118,700 - $197,900.<br>
This job is eligible for an annual incentive bonus.<br>
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer to our US full- and part-time employees working at least 20 hours or more per week:
 Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
 Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
 Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
 Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
 Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
 Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
 In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice<div><br>
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our <div>Applicant Request Support Form</div> or please contact 1-855-833-5120.</div><div></div><div>
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams <div>here</div>.</div><div></div><div>
Please read our <div>Candidate Privacy Policy</div>.</div><div></div><div>
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.</div><div></div><div><i>
USA Job Seekers:</i></div><div><div>
EEO Know Your Rights</div>.</div></div><div></div>

EHR/EMR Principal Data Analyst

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The Customer Success Manager (CSM) plays a pivotal role across both pre- and post-sales stages, ensuring seamless onboarding, adoption, and long-term value realization of Elsevier solutions. Serving as a trusted advisor for customers in
 <strong>
  UAE, Oman, Bahrain, Jordan, Lebanon, Iraq, Iran &amp; Ethiopia
 </strong>
 &mdash;the CSM collaborates closely with Account Managers and support teams to align on strategic goals, drive engagement, and uncover upsell and cross-sell opportunities. Their focus is on maximizing customer satisfaction, retention, and renewal growth throughout the customer lifecycle.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Manage customer relationships to become a trusted partner - Develop new (influential) relationships - identify and nurture champions - facilitate product development through liaising between customer and product &ndash; identify requirements in relation to organizations&rsquo; ambition - navigate customer queries with relevant internal stakeholders.
  </li>
  <li>
   Drive customer satisfaction &amp; customer success - Delivering tailored value stories (value reinforcement) - Demonstrating product/services ROI.
  </li>
  <li>
   Retention and Renewal - Supporting closing new agreements/renewals with Sales team by identifying value story, customer needs and advocates for Elsevier solutions.
  </li>
  <li>
   Identify Cross-sell &amp; upsell opportunities - Analyzing data &amp; understanding of customer needs and ambitions (value story) while adding value based on experience.
  </li>
  <li>
   Conduct Customer training in a scalable way - Ensure that all digital &amp; f2f training is fulfilling a need with the customer/audience; this includes both demonstrations of products as well as workshops.
  </li>
  <li>
   Work cross functionally &ndash; Share experiences across customer facing teams as well as the greater Elsevier organization to share success stories and ensure value proposition is clearly communicated and understood.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree or equivalent.
  </li>
  <li>
   Fluent in English and Arabic is mandatory
  </li>
  <li>
   3+ years of proven experience as Customer success manager preferred
  </li>
  <li>
   SaaS or publishing or Higher Education background preferred
  </li>
  <li>
   Proven project management and presentation skills
  </li>
  <li>
   Proficient in Microsoft Office Suite
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Working For You
  <br/>
  <br/>
 </strong>
 We promote a healthy work life balance, with flexible working hours, wellbeing initiatives, shared parental leave, study assistance and sabbaticals to meet your immediate responsibilities and long-term goals.
 <br/>
 <br/>
 <strong>
  These Are Some Of The Benefits On Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Medical and Air ticket
  </li>
  <li>
   Competitive bonus
  </li>
  <li>
   25 days paid annual leave
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Business
  <br/>
  <br/>
 </strong>
 A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
</div>


Customer Success Manager

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 <strong>
  Customer Success Managers (CSMs)
 </strong>
 serve as the primary post-sales contact for Elsevier&rsquo;s Clinical Solutions customers. They lead onboarding, drive product adoption, and ensure customers realize value from our solutions. As trusted advisors, CSMs foster engagement, safeguard revenue, and identify opportunities for upselling and cross-selling.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   They coordinate closely with Account Managers and all support functions to ensure strategic goals are met within the account.
  </li>
  <li>
   Pre-Sales: Work with Account Managers to engage with KOLs and end users to improve conversion rate.
  </li>
  <li>
   Post-Sales: Work with customers to determine and achieve their success metrics through engagement activities
  </li>
  <li>
   Their focus is on customer retention, renewal growth and identifying upsell/cross selling opportunities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirement
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Medical degree or relevant experience in the healthcare or medical industry is essential
  </li>
  <li>
   Proven background in customer engagement and retention
  </li>
  <li>
   Fluency in both Arabic and English.
  </li>
  <li>
   Comfortable working in a global, matrixed organization
  </li>
  <li>
   Self-motivated, highly organized, and proactive
  </li>
  <li>
   Strong project management and problem-solving capabilities
  </li>
  <li>
   Excellent influencing and presentation skills, with the ability to engage both high-level executives and end users
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Work for you
  <br/>
  <br/>
 </strong>
 We promote a healthy work-life balance, well-being initiatives, parental leave, and study leave. Our aim is to create a supportive work environment that helps you manage your responsibilities while also achieving your long-term goals.
 <br/>
 <br/>
 <ul>
  <li>
   Medical Insurance and Air Ticket
  </li>
  <li>
   Competitive Bonus
  </li>
  <li>
   25 days Annual Leave
  </li>
  <li>
   Remote Working Model
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
</div>


<div></div><div><div>About the Role</div><div><div><div><div><div><div><div><div><div><div>
Customer Success Managers (CSMs) serve as the primary post-sales contact for Elsevier&rsquo;s Clinical Solutions customers. They lead onboarding, drive product adoption, and ensure customers realize value from our solutions. As trusted advisors, CSMs foster engagement, safeguard revenue, and identify opportunities for upselling and cross-selling.</div><div></div><div>
Responsibilities</div><ul><li><div>
They coordinate closely with Account Managers and all support functions to ensure strategic goals are met within the account.</div></li><li><div>
Pre-Sales: Work with Account Managers to engage with KOLs and end users to improve conversion rate.</div></li><li><div>
Post-Sales: Work with customers to determine and achieve their success metrics through engagement activities</div></li><li><div>
Their focus is on customer retention, renewal growth and identifying upsell/cross selling opportunities.</div></li></ul><div></div><div>
Requirement:</div><ul><li><div>
Medical degree or relevant experience in the healthcare or medical industry is essential</div></li><li><div>
Proven background in customer engagement and retention</div></li><li><div>
Fluency in both Arabic and English.</div></li><li><div>
Comfortable working in a global, matrixed organization</div></li><li><div>
Self-motivated, highly organized, and proactive</div></li><li><div>
Strong project management and problem-solving capabilities</div></li><li><div>
Excellent influencing and presentation skills, with the ability to engage both high-level executives and end users</div></li></ul><div></div><div>
Work for you</div><div>
We promote a healthy work-life balance, well-being initiatives, parental leave, and study leave. Our aim is to create a supportive work environment that helps you manage your responsibilities while also achieving your long-term goals.</div><ul><li><div>
Medical Insurance and Air Ticket</div></li><li><div>
Competitive Bonus</div></li><li><div>
25 days Annual Leave</div></li><li><div>
Remote Working Model</div></li></ul><div></div><div>
About Us</div><div>
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.</div></div></div></div></div></div></div></div></div></div><div><br>
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our <div>Applicant Request Support Form</div> or please contact 1-855-833-5120.</div><div></div><div>
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams <div>here</div>.</div><div></div><div>
Please read our <div>Candidate Privacy Policy</div>.</div><div></div><div>
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.</div><div></div><div><i>
USA Job Seekers:</i></div><div><div>
EEO Know Your Rights</div>.</div></div><div></div>

<div></div><div><div>About the Role:</div><div>
The Customer Success Manager (CSM) plays a pivotal role across both pre- and post-sales stages, ensuring seamless onboarding, adoption, and long-term value realization of Elsevier solutions. Serving as a trusted advisor for customers in UAE, Oman, Bahrain, Jordan, Lebanon, Iraq, Iran &amp; Ethiopia&mdash;the CSM collaborates closely with Account Managers and support teams to align on strategic goals, drive engagement, and uncover upsell and cross-sell opportunities. Their focus is on maximizing customer satisfaction, retention, and renewal growth throughout the customer lifecycle.</div><div></div><div><br>
Key Responsibilities:</div><ul><li><div>
Manage customer relationships to become a trusted partner - Develop new (influential) relationships - identify and nurture champions - facilitate product development through liaising between customer and product &ndash; identify requirements in relation to organizations&rsquo; ambition - navigate customer queries with relevant internal stakeholders.</div></li><li><div>
Drive customer satisfaction &amp; customer success - Delivering tailored value stories (value reinforcement) - Demonstrating product/services ROI.</div></li><li><div>
Retention and Renewal - Supporting closing new agreements/renewals with Sales team by identifying value story, customer needs and advocates for Elsevier solutions.</div></li><li><div>
Identify Cross-sell &amp; upsell opportunities - Analyzing data &amp; understanding of customer needs and ambitions (value story) while adding value based on experience.</div></li><li><div>
Conduct Customer training in a scalable way - Ensure that all digital &amp; f2f training is fulfilling a need with the customer/audience; this includes both demonstrations of products as well as workshops.</div></li><li><div>
Work cross functionally &ndash; Share experiences across customer facing teams as well as the greater Elsevier organization to share success stories and ensure value proposition is clearly communicated and understood.</div></li></ul><div></div><div><br>
Requirements:</div><ul><li><div>
Bachelor's degree or equivalent.</div></li><li><div>
Fluent in English and Arabic is mandatory</div></li><li><div>
3+ years of proven experience as Customer success manager preferred</div></li><li><div>
SaaS or publishing or Higher Education background preferred</div></li><li><div>
Proven project management and presentation skills</div></li><li><div>
Proficient in Microsoft Office Suite</div></li></ul><div></div><div>
Working for you:</div><div>
We promote a healthy work life balance, with flexible working hours, wellbeing initiatives, shared parental leave, study assistance and sabbaticals to meet your immediate responsibilities and long-term goals.</div><div>
These are some of the benefits on offer:</div><ul><li><div>
Medical and Air ticket</div></li><li><div>
Competitive bonus</div></li><li><div>
25 days paid annual leave</div></li></ul><div>
About The business:</div><div>
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.</div><div><br>
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our <div>Applicant Request Support Form</div> or please contact 1-855-833-5120.</div><div></div><div>
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams <div>here</div>.</div><div></div><div>
Please read our <div>Candidate Privacy Policy</div>.</div><div></div><div>
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.</div><div></div><div><i>
USA Job Seekers:</i></div><div><div>
EEO Know Your Rights</div>.</div></div><div></div>

Join Elsevier and explore 9   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Elsevier

ABOUT_COMPANY

Senior Data Scientist I

Senior Data Scientist II

EHR/EMR Principal Data Analyst

Customer Success Manager

Customer Success Manager

Customer Success Manager

Customer Success Manager